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Modeling Clinical Workflows By Sean Avery, Michael Sutton, Stephen Foglietta, David Arney, Tracy Rausch, CCE, Julian Goldman, MD DocBox Proprietary Information 2011
Two Views of a Clinical Process X-Ray Ventilator Workflow  Business Process Model Notation (BPMN) X-Ray Ventilator Workflow  Little-JIL Process Definition Language DocBox Proprietary Information 2011
X-Ray Ventilator – BPMNBenefits and Limitations Benefits: ,[object Object]
Easily Trace Process Flow
Industry Standard

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Modeling Clinical Workflows Using BPMN and Little-JIL

  • 1. Modeling Clinical Workflows By Sean Avery, Michael Sutton, Stephen Foglietta, David Arney, Tracy Rausch, CCE, Julian Goldman, MD DocBox Proprietary Information 2011
  • 2. Two Views of a Clinical Process X-Ray Ventilator Workflow Business Process Model Notation (BPMN) X-Ray Ventilator Workflow Little-JIL Process Definition Language DocBox Proprietary Information 2011
  • 3.
  • 7.
  • 13.
  • 16. Built on Formally Defined Semantics
  • 18.
  • 19. Greater Time Requirement for Modeling Processes
  • 20. No Easy Conversion to other Modeling Languages
  • 21. Limited Timing PropertiesDocBox Proprietary Information 2011 Little-JIL, Little-JIL Analyzer, Propel, and FLAVERS software developed by the Laboratory for Advanced Software Engineering Research (LASER) at University of Massachusetts Amherst
  • 22. Property Verification and Fault-Tree Derivation Here an exception is thrown and handled but the process deviation leads to the property being violated. [This error was seeded to show trace graph] Here we can see depth of safety locks via logic gates, presented here as “OR” (blue ), “AND” (pink ), and “NOT” (green triangles). DocBox Proprietary Information 2011 Property Violated Artifact Flow Check Multiple “And” gates showing Process robustness Exception thrown Property violation trace graph – checking “ventilator started after being stopped” property for violations within the process diagram. Property defined with Propel (PROPerty ELucidator), and verified using FLAVERS (FLow Analysis for VERification of Systems) software. Minimal cut set of “Timer-Check” fault-tree – Checking “timer” parameter for correctness during each step presented in the Little-JIL process diagram. Fault-Tree derived directly by mathematical extrapolation done on the Little-JIL process model using Little-JIL Analyzer software. Little-JIL, Little-JIL Analyzer, Propel, and FLAVERS software developed by the Laboratory for Advanced Software Engineering Research (LASER) at University of Massachusetts Amherst